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Effect of supercooling storage applied with stepwise algorithm for fishes(salmon and olive flounder)and its freshness during extended storage

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Food Bioscience 2022年第5期49卷 774-782页

作者： Dong Hyeon Park SangYoon Lee Yeong Mi Byeon Eun Jeong Kim Mi-Jung Choi Department of Food Science and Biotechnology of Animal Resources Konkuk UniversitySeoul05029South Korea Refrigerator Research of Engineering Division Home Appliance and Air Solution CompanyLG ElectronicsChangwon51533South Korea

Supercooling storage reduces the temperature of a product by lowering its freezing point without phase transition and may extend its shelf ***,it is difficult to maintain the supercooled state of food as it is thermodynamically metastable.A slow cooling rate and minimal fluctuation are essential for achieving stable supercooling ***,a stepwise algorithm was adopted for supercooling storage in this *** and olive flounder were stored at 3℃(refrigeration),􀀀18℃(freezing),and􀀀2℃(supercooling)for 12 *** were maintained in a supercooled state and unfrozen during the storage *** stored after the supercooling treatment were superior with respect to drip loss and water holding capacity(WHC)compared to frozen samples,regardless of the type of *** and total volatile basic nitrogen values of olive flounder was higher than those in salmon owing to the higher water and protein content in olive flounder than in ***,the supercooled samples inhibited the increase in trimethylamine and volatile basic nitrogen *** growth was ***,a stepwise algorithm for stable supercooled storage was achieved,which effectively preserved fish quality better than freezing and refrigeration storage.

关键词： Salmon Olive flounder Supercooling stepwise algorithm Freshness

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Rapid sequence optimization of spot welds for improved geometrical quality using a novel stepwise algorithm

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ENGINEERING OPTIMIZATION 2021年第5期53卷 867-884页

作者： Sadeghi Tabar, Roham Warmefjord, Kristina Soderberg, Rikard Chalmers Univ Technol Dept Ind & Mat Sci Gothenburg Sweden

Joining sequence optimization is a combinatorial problem, requiring extensive computational time. The significance of determination of an optimal sequence for improved geometrical quality is substantial. Previously, genetic algorithms have been studied for defining the optimal sequence. However, these algorithms are highly dependent on the internal parameters, requiring additional computational analysis and thereby extended evaluation time. In this article, a novel robust stepwise algorithm is introduced to determine the optimal weld sequence. Application of the proposed algorithm leads to drastic time improvements for defining the optimal weld sequence of each assembly. Three industrial assemblies are evaluated. Comparison with the previously applied population-based optimization algorithms indicates that the optimization time can be reduced drastically with the proposed stepwise algorithm. The stepwise algorithm is intended to be applied in a geometry assurance digital twin, where the assembly parameters are being optimized for each individual assembly.

关键词： Joining sequence optimization deformation stepwise algorithm

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Effect of long-term supercooling preservation using a stepwise algorithm on the freshness of kimchi cabbage

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FOOD CONTROL 2024年 164卷

作者： Park, Dong Hyeon Kim, MinJi Park, Sung Jin Lee, Mi-Ai Choi, Yun-Jeong Choi, Mi-Jung Park, Sung Hee World Inst Kimchi Kimchi Ind Promot Div Pract Technol Res Grp Gwangju 61735 South Korea Sejong Univ Dept Hospitality Tourism & Culinary Seoul 05006 South Korea Konkuk Univ Dept Food Sci & Biotechnol Anim Resources Seoul 05029 South Korea

Kimchi cabbage is a Korean traditional fermented vegetable that is rich in nutrients and probiotics. Temperature changes caused microbial growth adversely affect the quality of kimchi. Therefore, controlling the preservation temperature is important to prevent over-fermentation of kimchi. Supercooling has emerged as an alternative storage method;however, maintaining the supercooled state of food is challenging. In this study, a stepwise cooling algorithm for supercooling preservation was developed and applied. All samples were maintained in a supercooled state, and no ice nucleation was detected. Assessments of CO2 content, pH, and titratable acidity revealed that supercooled samples exhibited more delayed fermentation than refrigerated samples. However, moisture content and hardness of the unfrozen (refrigerated and supercooled) samples were not significantly different. Microbial analysis and community composition indicated that the supercooling treatment delayed kimchi fermentation by approximately three months. Conclusively, supercooling is effective for maintaining the freshness of kimchi cabbage during long-term storage. This study contributes to the optimization of kimchi preservation strategies, offering potential benefits for both consumers and producers in terms of product quality, shelf life, and food safety.

关键词： Kimchi cabbage Supercooling stepwise algorithm Long-term storage Freshness

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Supercooling and stepwise algorithmic strategies for prolonged freshness and quality preservation in mustard leaf (Brassica juncea) kimchi

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LWT-FOOD SCIENCE AND TECHNOLOGY 2025年 224卷

作者： Park, Dong Hyeon Choi, Mi-Jung Lee, Mi-Ai Park, Sung Jin Kim, Minji Park, Sung Hee Korea Food Res Inst Food Proc Res Grp Food Convergence Res Div Wonju 55365 Jeollabuk Do South Korea Konkuk Univ Dept Food Sci & Biotechnol Anim Resources Seoul 05029 South Korea World Inst Kimchi Kimchi Ind Promot Div Pract Technol Res Grp Gwangju 61735 South Korea

Kimchi, a traditional Korean fermented dish, is rich in nutrients and probiotics. Its quality can be compromised by over-fermentation due to temperature fluctuations. Supercooling has been proposed as a method to preserve kimchi, but maintaining this state is challenging. This study used a stepwise cooling system to keep mustard leaf kimchi in a supercooled condition for up to 5 months. Analysis of CO2 levels, pH, and titratable acidity showed slower fermentation in the supercooled samples compared to refrigerated ones. Notably, the pH of refrigerated samples decreased rapidly to about 4.5 and the titratable acidity increased to about 0.83 % at 5 months of storage. However, there were no significant differences in moisture content and texture between the supercooled and refrigerated samples. Microbial profiles and metabolic compounds revealed that supercooling preservation delayed fermentation by about 3 months. These results suggest that supercooling is an effective method for preserving mustard leaf kimchi, preventing quality degradation during long-term storage.

关键词： Mustard leaf kimchi Supercooling stepwise algorithm Quality Long-term preservation

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Hydraulic model of partial dam break based on sluice gate flow

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OCEAN ENGINEERING 2024年 295卷

作者： Liu, Yanshun Zhang, Xiao Yu, Hao Sun, Yuxue Sun, Chuanyu Li, Zihan Li, Xianghui Shandong Univ Res Ctr Geotech & Struct Engn Jinan 250061 Peoples R China Laoshan Lab Qingdao 266200 Peoples R China Weifang Hydrodynam Sci & Technol Ind Inst Weifang 261200 Peoples R China

Accurately predicting the flow of water during a dam break is crucial for managing and responding to potential flood disasters. Although the characteristics of a dam break wave after a complete dam break have been investigated extensively, studies on partial dam break processes have been rare. To this end, this paper proposed a hydraulic model for partial dam breaks based on the water flow through a sluice gate. Five different hydraulic models using 459 datasets of sluice gate flows from both experimental tests and the literature were evaluated. A stepwise algorithm was developed by combining the sluice gate flow model with the law of mass conservation;this algorithm was used to develop a predictive model for the flow and level of water during partial dam breaks. Based on the water-level data obtained from partial dam break simulations, the hydraulic model was improved by introducing time and submergence correction coefficients. Compared with the experimental results, the mean absolute percentage error of the corrected model was 1.572 %, indicating a high prediction accuracy. Consequently, the proposed model can provide important technical support for managing partial dam break.

关键词： Partial dam break Sluice gate flow Hydraulic model stepwise algorithm Experimental validation

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Analysis of pipeline leakage in unsaturated stratum: A new seepage-diffusion model

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TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY 2024年 149卷

作者： Liu, Yanshun Yu, Hao Zhang, Xiao Lan, Xiongdong Li, Xianghui Sun, Yuxue Yin, Zhanchao Shandong Univ Res Ctr Geotech & Struct Engn Jinan 250061 Peoples R China Laoshan Lab Qingdao 266200 Peoples R China Weifang Hydrodynam Sci & Technol Ind Inst Weifang 261200 Peoples R China Jiangxi Univ Sci & Technol Sch Civil Engn & Surveying & Mapping Engn Ganzhou 341000 Jiangxi Peoples R China

Accurate prediction of the spread of fluids leaking from underground pipelines is crucial for risk assessment. In this study, we developed a method for predicting the diffusion range of pipeline seepage fluids within an unsaturated stratum. First, we derived a seepage-diffusion equation based on the generalized Darcy's law and subsequently analyzed the mechanism of fluid diffusion in the unsaturated stratum. We then constructed a model for the seepage-diffusion of a pipeline leakage fluid, incorporating variables such as the saturation, permeability coefficient, diffusion pressure, and diffusion distance of soil microelements across various time intervals, using a stepwise algorithm in tandem with the Green-Ampt model and VG-Mualen permeability coefficient function. We investigated the influence of fluid self-gravity, saturated permeability coefficient, initial saturation, and intrapipe pressure on the diffusion distance of the pipeline leakage fluid in an unsaturated stratum, focusing on specific cases. The results indicate that an increase in the saturated permeability coefficient, initial saturation, and intra-pipe pressure leads to an increase in the fluid diffusion distance. A simulation test was conducted to validate the proposed seepage-diffusion model. The findings of this study can be employed to predict the diffusion range of pipeline leakage fluids in various formation types, providing a vital foundation for pipeline leakage accident management.

关键词： Pipeline leakage Seepage-diffusion distance Unsaturated stratum stepwise algorithm Simulation test verification

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Numerical Investigation of Grout Diffusion Accounting for the Dynamic Pressure Boundary Condition and Spatiotemporal Variation in Slurry Viscosity

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INTERNATIONAL JOURNAL OF GEOMECHANICS 2021年第4期21卷 04021018-04021018页

作者： Han, Chenghao Wei, Jiuchuan Zhang, Weijie Zhou, Wenwu Yin, Huiyong Xie, Daolei Yang, Fei Li, Xiang Man, Xiaoquan Shandong Univ Sci & Technol Coll Earth Sci & Engn Qingdao 266590 Shandong Peoples R China

This paper proposed an improved stepwise algorithm to simulate the grout diffusion in a single fracture considering the dynamic grouting parameter boundary condition and the spatial- and time-dependent viscosity of the grout. The method was more effective and could result in variation in key output parameters at any measurement point/time (in space and time). Based on the algorithm, three types of dynamic pressure boundary conditions, which are more applicable in grouting engineering practice, were designed to illustrate the grouting process. Compared with constant pressure grouting, the dynamic adjustments of pressure grouting were found to be beneficial to grout propagation in most cases. Some other factors were also studied under dynamic pressure boundary conditions, such as the spatiotemporal variation in the slurry viscosity and fracture aperture, which demonstrate a significant influence on the grout migration. Finally, a dynamic pressure grouting system was prepared, and the accuracy of the algorithm was successfully validated using a series of laboratory tests.

关键词： Fracture grouting Grout diffusion Dynamic parameters boundary condition Slurry rheology stepwise algorithm

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A Bayesian Method for Dynamic Origin-Destination Demand Estimation Synthesizing Multiple Sources of Data

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SENSORS 2021年第15期21卷 4971-4971页

作者： Yu, Hang Zhu, Senlai Yang, Jie Guo, Yuntao Tang, Tianpei Nantong Univ Sch Transportat & Civil Engn Se Yuan Rd 9 Nantong 226019 Peoples R China Minist Educ Dept Traff Engn Tongji Univ Key Lab Rd & Traff Engn 4800 Caoan Rd Shanghai 201804 Peoples R China

In this paper a Bayesian method is proposed to estimate dynamic origin-destination (O-D) demand. The proposed method can synthesize multiple sources of data collected by various sensors, including link counts, turning movements at intersections, flows, and travel times on partial paths. Time-dependent demand for each O-D pair at each departure time is assumed to satisfy the normal distribution. The connections among multiple sources of field data and O-D demands for all departure times are established by their variance-covariance matrices. Given the prior distribution of dynamic O-D demands, the posterior distribution is developed by updating the traffic count information. Then, based on the posterior distribution, both point estimation and the corresponding confidence intervals of O-D demand variables are estimated. Further, a stepwise algorithm that can avoid matrix inversion, in which traffic counts are updated one by one, is proposed. Finally, a numerical example is conducted on Nguyen-Dupuis network to demonstrate the effectiveness of the proposed Bayesian method and solution algorithm. Results show that the total O-D variance is decreasing with each added traffic count, implying that updating traffic counts reduces O-D demand uncertainty. Using the proposed method, both total error and source-specific errors between estimated and observed traffic counts decrease by iteration. Specifically, using 52 multiple sources of traffic counts, the relative errors of almost 50% traffic counts are less than 5%, the relative errors of 85% traffic counts are less than 10%, the total error between the estimated and "true" O-D demands is relatively small, and the O-D demand estimation accuracy can be improved by using more traffic counts. It concludes that the proposed Bayesian method can effectively synthesize multiple sources of data and estimate dynamic O-D demands with fine accuracy.

关键词： dynamic O-D estimation Bayesian statistic synthesizing data stepwise algorithm

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Isolated trochlear palsy as the only presentation of midbrain infarction: a case report

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JOURNAL OF INTERNATIONAL MEDICAL RESEARCH 2021年第4期49卷 3000605211008292-3000605211008292页

作者： Chen, Wen-Ching Li, Ying-Sheng Huang, Poyin Kaohsiung Med Univ Sch Med Coll Med Kaohsiung Taiwan Kaohsiung Med Univ Hosp Kaohsiung Med Univ Dept Neurol Kaohsiung Taiwan Kaohsiung Med Univ Kaohsiung Municipal Siaogang Hosp Dept Neurol Kaohsiung Taiwan Kaohsiung Med Univ Neurosci Res Ctr Kaohsiung Taiwan Kaohsiung Med Univ Dept Neurol Coll Med Fac Med Kaohsiung Taiwan

Trochlear palsy often results from traumatic, congenital and microvascular disorders. An intra-axial lesion as a cause of trochlear palsy is uncommon. Moreover, it usually accompanies other neurological deficits. Isolated trochlear palsy as the only presentation of brainstem stroke is unexpected. This current case report describes a 74-year-old male that presented with trochlear palsy without other neurological signs. Brain magnetic resonance imaging (MRI) revealed an acute midbrain infarction. The case report also reviews recent literature and provides a stepwise algorithm for clinicians to approach patients with trochlear palsy. Despite its rarity, clinicians are advised to consider ischaemic stroke as a cause of trochlear palsy even without other neurological deficits. Early MRI should be performed for prompt and proper management.

关键词： Isolated trochlear palsy intra-axial lesion magnetic resonance imaging midbrain infarction stepwise algorithm

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Variable selection using support vector regression and random forests: A comparative study

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INTELLIGENT DATA ANALYSIS 2016年第1期20卷 83-104页

作者： Ben Ishak, Anis Univ Tunis ISGT BESTMOD LR99ES04 Le Bardo 2000 Tunisia

Variable selection is crucial for improving interpretation quality and forecasting accuracy. To this end, it is very interesting to choose an effective dimension reduction technique suitable for processing data according to their specificity and characteristics. In this paper, the problem of variable selection for linear and nonlinear regression is deeply investigated. The curse of dimensionality issue is also addressed. An intensive comparative study is performed between Support Vector Regression (SVR) and Random Forests (RF) for the purpose of variable importance assessment then for variable selection. The main contribution of this work is twofold: to expose some experimental insights about the efficiency of variable ranking and selection based on SVR and on RF, and to provide a benchmark study that helps researchers to choose the appropriate method for their data. Experiments on simulated and real-world datasets have been carried out. Results show that the SVR score. Ga is recommended for variable ranking in linear situations whereas the RF score is preferable in nonlinear cases. Moreover, we found that RF models are more efficient for selecting variables especially when used with an external score of importance.

关键词： Variable importance score variable selection support vector regression random forests nonlinearity stepwise algorithm curse of dimensionality selection bias

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